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|
data(iris)
model <- lm(Sepal.Length ~ Species, data = iris)
test_that("p_function ci-levels", {
out <- p_function(model)
expect_equal(
out$CI_low,
c(
4.982759, 0.897132, 1.549132, 4.956774, 0.860384, 1.512384,
4.92192, 0.811093, 1.463093, 4.862126, 0.726531, 1.378531
),
tolerance = 1e-4
)
expect_identical(dim(out), c(12L, 5L))
expect_equal(
out$CI,
c(0.25, 0.25, 0.25, 0.5, 0.5, 0.5, 0.75, 0.75, 0.75, 0.95, 0.95, 0.95),
tolerance = 1e-4
)
ref <- ci(model)
expect_equal(
out$CI_low[out$CI == 0.95],
ref$CI_low,
tolerance = 1e-4
)
ref <- ci(model, ci = 0.5)
expect_equal(
out$CI_low[out$CI == 0.5],
ref$CI_low,
tolerance = 1e-4
)
out <- p_function(model, ci_levels = c(0.3, 0.6, 0.9))
expect_equal(
out$CI,
c(0.3, 0.3, 0.3, 0.6, 0.6, 0.6, 0.9, 0.9, 0.9),
tolerance = 1e-4
)
skip_if_not_installed("sandwich")
out <- p_function(model, vcov = "HC3")
expect_equal(
out$CI_low,
c(
4.989925, 0.901495, 1.548843, 4.971951, 0.869624, 1.511772,
4.947844, 0.826875, 1.462047, 4.906485, 0.753538, 1.376742
),
tolerance = 1e-4
)
})
test_that("p_function keep-drop", {
out <- p_function(model, keep = "Speciesversicolor")
expect_identical(dim(out), c(4L, 5L))
expect_equal(
out$CI,
c(0.25, 0.5, 0.75, 0.95),
tolerance = 1e-4
)
expect_identical(
out$Parameter,
c(
"Speciesversicolor", "Speciesversicolor", "Speciesversicolor",
"Speciesversicolor"
)
)
})
test_that("p_function print", {
out <- p_function(model)
ref <- capture.output(print(out))
expect_identical(
ref,
c(
"Consonance Function",
"",
"Parameter | 25% CI | 50% CI | 75% CI | 95% CI",
"--------------------------------------------------------------------------------",
"(Intercept) | [4.98, 5.03] | [4.96, 5.06] | [4.92, 5.09] | [4.86, 5.15]",
"Species [versicolor] | [0.90, 0.96] | [0.86, 1.00] | [0.81, 1.05] | [0.73, 1.13]",
"Species [virginica] | [1.55, 1.61] | [1.51, 1.65] | [1.46, 1.70] | [1.38, 1.79]"
)
)
})
|
